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Paper Citation Record · LEDGER

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2605.14237.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.14237 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T02:37:09.469974Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact9
  • verified fuzzy6
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b38d7fd-05c7-4bbc-b864-ddb6140ba39a · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay ReAct: Synergizing Reasoning and Acting in Language Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:38:36.004988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:25c8216a30de948e5ad65409553ba36dc7afac346237b60a1da20d5a38ac7326

Observation e91a30a1-bd04-41a0-bfef-54424378ee47 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:38:36.019550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:de193ef688a4de6fddf1f1e04172f8c8ba8ac62c6abd955e861c52c2523b6be8

Observation 18612d04-cf18-4d58-a375-5d954d607f15 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:38:36.012207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:741e52815236fac73bb6cd2bbc99e3fb9ac2ff4ac9c183c3b8dfe68db61006a5

Observation b17c9ca4-118e-4551-bb2b-a6743d34b926 · outbound

This paper cites Gravitas.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay Gravitas

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:20:04.889076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:5232d6d28ac36d771ee9cb090453978f2d84c2546b16a81e4846044b82863f49

Observation 064dba30-39bb-4667-b889-74c11329cdff · outbound

This paper cites LangChain: Building Applications with LLMs through Composability.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay LangChain: Building Applications with LLMs through Composability

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:20:04.894358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:0052951fe3b7649a6ea23b4165106206f9d5f5b64c82b30cd16fa979de2324c7

Observation 8e233ff1-2247-44d3-928a-4e2eb8278fd4 · outbound

This paper cites TaskWeaver: A Code-First Agent Framework.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay TaskWeaver: A Code-First Agent Framework

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:20:04.884305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:bc325179a6eeec4aeec809318ad98b86d588622bac4d547876e18a3b37566fce

Observation 9fbc4223-6dc5-4256-afe5-ca8c270ef8e5 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay MemGPT: Towards LLMs as Operating Systems

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:38:35.997998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:d6d6c47d209dcafe2dcd8ad95930de99121ec09635f0c1ad54b792c0f7274a41

Observation 8c1bf10d-63bd-4e8c-a6ae-f335f396b9bd · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay Generative Agents: Interactive Simulacra of Human Behavior

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:38:35.984894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:269416b68db8b0cffa584adf49b9196f8d0dfc6f7199fbd5785832f85b28e8bf

Observation 320de318-785f-4748-856a-c025f94fa031 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay Gorilla: Large Language Model Connected with Massive APIs

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:38:35.978828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:5466086889b4c9d82a8aa458115843be6ca77169257fa92c9dde9d947d1e2a52

Observation fcbae64f-f85a-4c02-b408-2db3ede16659 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:38:35.972636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:3644a2d73d98d3ed7a08860945efd66c16de655e378605d0ed52e6c168bc971c

Observation 357bf9e8-984f-4ded-ae57-25003efbbf6c · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:38:35.966500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:2937aa72c97e273a0ae82594cf781c4a860b2d98d0b401ca21d3534348a267a4

Observation 4cbb8400-3e96-49cf-9e1f-94e4561eb16d · outbound

This paper cites Tool Use (Function Calling).

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay Tool Use (Function Calling)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:20:04.875658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:ad3b5f2627545c17f22a4f319c53bfa983c41365fba9776b9371c7a1d3df1402

Observation 3016c3de-4c56-4d2b-926e-2e3a84116eaf · outbound

This paper cites Claude Code Skills Specification.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay Claude Code Skills Specification

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:20:04.858026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:06545a811e698b03d1c8cd84da764490409a9f200bfe12ed55ea350d4c1b48b9

Observation 6b8df194-dd10-4357-9f08-ca71212b4ed2 · outbound

This paper cites crontab - tables for driving cron.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay crontab - tables for driving cron

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:20:04.867028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:cc22431a01b78bd73d1bfbb92ca0d821abdbf14757f7c7c61ffec24d3b3dd7cf

Observation e7746287-64cd-4749-995c-6d5a9bbde161 · outbound

This paper cites PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing.

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:38:35.991849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:37:09.469974Z digest=sha256:00fb3b81aeaead8667b67547f9df45e0efa6c26ceb8cc86d1e24a28d3b248884

Pith citing papers

No inbound Pith citation observations are available.